An investigational FW-MPM-LSTM approach for face recognition using defective data

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dc.contributor.authorMahmood, Baraa Adil
dc.contributor.authorKurnaz, Sefer
dc.date.accessioned2023-03-03T07:33:18Z
dc.date.available2023-03-03T07:33:18Z
dc.date.issued2023en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractFacial recognition systems are based on the features and traits of the face, since the systems are classified as biometric systems. Additionally, they are founded on the image processing, machine vision and machine learning principles. From images, imperfect information is considered by face recognition systems. A variety of image reconstruction mechanisms is vital in this situation in order to match faces. The proposed method calls for image enhancement at the pre-processing stage. Following the image segmentation and reconstruction stage, the best facial features are extracted using features such the eyes, cheeks, face area and lips. By means of fractal model and wavelet transform the operation is performed. Using the Moore Penrose Matrix, the LSTM neural network is then improved also known as the MPM-LSTM, to train and test the system. From experimental results, the outcomes show that the proposed methodology performs better than the contemporary techniques.en_US
dc.identifier.citationMahmood, B. A., Kurnaz, S. (2023). An investigational FW-MPM-LSTM approach for face recognition using defective data. Image and Vision Computing, 132.en_US
dc.identifier.issn0262-8856
dc.identifier.scopus2-s2.0-85148545662
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3427
dc.identifier.volume132en_US
dc.identifier.wosWOS:000948997400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorMahmood, Baraa Adil
dc.institutionauthorKurnaz, Sefer
dc.language.isoen
dc.publisherElsevieren_US
dc.relation.ispartofImage and Vision Computing
dc.relation.isversionof10.1016/j.imavis.2023.104644en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFace Recognitionen_US
dc.subjectImperfect Face Dataen_US
dc.subjectWavelet Transformen_US
dc.subjectFractal Modelen_US
dc.subjectMPM-LSTMen_US
dc.titleAn investigational FW-MPM-LSTM approach for face recognition using defective data
dc.typeArticle

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